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I maintain and develop several open source Python libraries for processing natural language. The goal is to make NLP research results available for everyone even outside of the academia in such a fashion that one can just pip install a package and start using it.

Publishing research papers is costly. For a paper to be published it must be presented in a conference, which costs money in the form of a registration fee, travek and accommodation. Also data collection and human evaluation aren't free. Your sponsorship will be used towards covering the costs of publication of results. The results of these papers will be used to make my Python libraries better.

1 sponsor has funded mikahama’s work.

@mikahama

Reaching this goal will make me thrilled to bits.

@taskswithcode

Featured work

  1. mikahama/uralicNLP

    An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English

    Python 70
  2. mikahama/syntaxmaker

    The NLG tool for Finnish

    Python 22
  3. mikahama/natas

    Python 3 library for processing historical English

    Python 64
  4. mikahama/murre

    The amazing 🐕will normalize non-standard Finnish/Swedish and dialectalize standard Finnish!

    Python 25
  5. mikahama/FinMeter

    Tools for assessing Finnish poetry: rhymes, meter, hyphenation of Finnish and so on.

    Python 11

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Regular supporter. You will get priority when opening an issue on Github.
📧 Email support on installing my libraries on supported operating systems.

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You will get a priority for Github issues and your name will be mentioned in the acknowledgements section of my academic publications.

📧 Email support on how to use my libraries.

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High priority for issues and suggested new features. You can opt in for becoming a co-author in one of my academic publications once a year. You will also get personalized support and consultancy on using my libraries and on integrating them into your systems.